Coral reef habitat mapping using remote sensing: A user vs producer perspective. Implications for research, management and capacity building

Journal of Spatial Science

Volumn 53, Issue 1, 2008, Pages 113-129

  Andrefouet S ^a  

^a INSTITUT DE RECHERCHE POUR LE DÉVELOPPEMENT   (New Caledonia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY ASSESSMENT; CORAL REEF; DATA SET; HABITAT STRUCTURE; IKONOS; IMAGE RESOLUTION; REMOTE SENSING; SPATIAL ANALYSIS; SPECTRAL ANALYSIS; THEMATIC MAPPING;

CENTRAL EUROPE; EURASIA; EUROPE; SWITZERLAND; VALAIS;

ANTHOZOA;

EID: 48549106593     PISSN: 14498596     EISSN: None     Source Type: Journal    
DOI: 10.1080/14498596.2008.9635140     Document Type: Article

References (66)

1. Abiodum, A., 1997. Space education. Advances in Space Research, 20:1341–1349.
2. Andréfouët, S., 2007. “ Définition des points du suivi du récif corallien de Nouvelle-Calédonie inscrit au patrimoine mondial de l'UNESCO ”. In Report Conventions:Sci. Mer; Biol. Mar. 27, 55Nouméa:IRD. + appendices.
3. Andréfouët, S., Wabnitz, C., and Chauvin, C., 2007. “ Aide à la définition d'aires marines protégées pour la conservation de la biodiversité du système récifo-lagonaire de Wallis. 1ere Partie:Compilation et validation des données biologiques et habitats ”. In Report Rapport Intermédiaire. Conventions:Sci. Mer; Biol. Mar., 18Nouméa:IRD.
4. Andréfouët, S., and Dirberg, G., 2006. “ Cartographie et inventaire du système récifal de Wallis, Futuna et Alofi par imagerie satellitaire Landsat 7 ETM+ et orthophotographies aériennes à haute résolution ”. In Report Conventions:Sci. Mer; Biol. Mar. 10, 53Nouméa:IRD.
5. Andréfouët, S., Muller-Karger, F. E., Robinson, J. A., Kranenburg, C. J., Torres-Pulliza, D., Spraggins, S. A., and Murch, B., Global assessment of modern coral reef extent and diversity for regional science and management applications:a view from space. Proc. 10th Int. Coral Reef Symposium. Okinawa, Japan. pp. 1732–1745. Japanese Coral Reef Society. CDROM.
6. Andréfouët, S., Gilbert, A., Yan, L., Remoissenet, G., Payri, C., and Chancerelle, Y., 2005. The remarkable population size of the endangered clam Tridacna maxima assessed in Fangatau atoll (Eastern Tuamotu, French Polynesia) using in situ and remote sensing data. ICES Journal of Marine Science, 62:1037–1048.
7. Andréfouët, S., and Guzman, H., 2005. Coral reef distribution, status and geomorphologybiodiversity relationship in Kuna Yala (San Blas) archipelago, Caribbean Panama. Coral Reefs, 24:31–42.
8. Andréfouët, S., Zubia, M., and Payri, C., 2004a. Mapping and biomass estimation of the invasive brown algae Turbinaria ornata (Turner) J. Agardh and Sargassum mangarevense (Grunow) Setchell on heterogeneous Tahitian coral reefs using 4-meter resolution IKONOS satellite data. Coral Reefs, 23:26–38.
9. Andréfouët, S., Payri, C., Hochberg, E. J., Hu, C., Atkinson, M. J., and Muller-Karger, F., 2004b. Use of in situ and airborne reflectance for scaling-up spectral discrimination of coral reef macroalgae from species to communities. Marine Ecology Progress Series, 283:161–177.
10. Andréfouët, S., Kramer, P., Torres-Pulliza, D., Joyce, K. E., Hochberg, E. J., Garza-Perez, R., Mumby, P. J., Riegl, B., Yamano, H., White, W. H., Zubia, M., Brock, J. C., Phinn, S. R., Naseer, A., Hatcher, B. G., and Muller-Karger, F. E., 2003a. Multi-sites evaluation of IKONOS data for classification of tropical coral reef environments. Remote Sensing of Environment, 88:128–143.
11. Andréfouët, S., Payri, C., Che, L. M., Hochberg, E. J., and Atkinson, M. J., 2003b. Airborne hyperspectral detection of microbial mats pigmentation in Rangiroa atoll (French Polynesia). Limnology Oceanography, 48:426–430.
12. Andréfouët, S., Hochberg, E. J., Payri, C., Atkinson, M. J., Muller-Karger, F. E., and Ripley, H., 2003c. Multi-scale remote sensing of microbial mats in atoll environments. Int. J. Remote Sensing, 24:2661–2682.
13. Andréfouët, S., and Payri, C., 2001. Scaling-up carbon and carbonate metabolism in coral reefs using in situ and remote sensing data. Coral Reefs, 19:259–269.
14. Andréfouët, S., Roux, L., Chancerelle, Y., and Bonneville, A., 2000. A fuzzy possibilistic scheme of study for objects with indeterminate boundaries:application to french polynesian reefscapes. IEEE Trans. Geoscience and Remote Sensing, 38:257–270.
15. Aswani, S., and Lauer, M., 2006. Benthic mapping using local aerial photo-interpretation and resident taxa inventories for designing marine protected areas. Environmental Conservation, 33:263–273.
16. Bailey, G., Lauer, D., and Carneggie, D., 2001. International collaboration:the cornerstone of satellite land remote sensing in the 21st century. Space Policy, 17:161–169.
17. Bello, P., Rios, L. V., Liceaga, C. M. A., Zetina, M. C., Cervera, C. K., Arceo, B. P., and Hernandez, N. H., 2005. Incorporating spatial analysis of habitat into spiny lobster (Panulirus argus) stock assessment at Alacranes reef, Yucatan, Mexico. Fisheries Research, 73:37–47.
18. Benfield, S. L., Guzman, H. M., Mair, J. M., and Young, J. A. T., 2007. Mapping the distribution of coral reefs and associated sublittoral habitats in Pacific Panama:a comparison of optical satellite sensors and classification methodologies. International J. Remote Sensing, 28:5047–5070.
19. Bouvet, G., Ferraris, J., and Andréfouët, S., 2003. Evaluation of large-scale unsupervised classification scheme of New Caledonia reef ecosystems using Landsat 7 ETM+ imagery. Oceanologica Acta, 26:281–290.
20. Capolsini, P., Andréfouët, S., Rion, C., and Payri, C., 2003. A comparison of Landsat ETM+, SPOT HRV, Ikonos, ASTER and airborne MASTER data for coral reef habitat mapping in South Pacific islands. Canadian J. Remote Sensing, 29:187–200.
21. Chauvaud, S., Bouchon, C., and Manière, R., 2001. Cartographie des biocénoses marines de Guadeloupe à partir des données SPOT (récifs coralliens, phanérogammes marines, mangroves). Oceanologica Acta, 24:S3–S16.
22. Chen, J., Mao, Z., Zhang, H., Wu, J., Chen, X., and Pan, D., 2007. Analysis on coral reefs mapping using SPOT5 data at the Dongsha Atoll. Acta Oceanologica Sinica, 26:26–35.
23. Congalton, R., and Green, K., 1999. Assessing the accuracy of remotely sensed data:Principles and practices, 137New-York:Lewis Publishers.
24. Dahdouh-Guebas, F., Ahimbisibwe, J., Vanmoll, R., and Koedam, N., 2003. Neo-colonial science by the most industralised upon the least developed countries in peer-reviewed publishing. Scientometrics, 56:329–343.
25. Dahdouh-Guebas, F., Verheyden, A., Kairo, J., Jayatissa, L., and Koedam, N., 2006. Capacity building in tropical coastal resource monitoring in developing countries:A re-appreciation of the oldest remote sensing method. International Journal of Sustainable Development and World Ecology, 13:62–76.
26. Gilbert, A., Andréfouët, S., Yan, L., and Remoissenet, G., 2006. The giant clam Tridacna maxima communities of three French Polynesia islands:comparison of their population sizes and structures at early stages of their exploitation. ICES Journal of Marine Science, 63:1573–1589.
27. Green, E. P., Mumby, P. J., Edwards, A. J., and Clark, C. D., 2000. Remote sensing handbook for tropical coastal management, 316Paris:UNESCO.
28. Hochberg, E., and Atkinson, M., in press. Coral reef benthic productivity based on optical absorptance and light-use efficiency. Coral Reefs
29. Hochberg, E., and Atkinson, M., 2003. Capabilities of remote sensors to classify coral, algae and sand as pure and mixed spectra. Remote Sensing of Environment, 85:174–189.
30. Hochberg, E. J., Andréfouët, S., and Tyler, M. R., 2003a. Sea surface correction of high spatial resolution Ikonos images to improve bottom mapping in near-shore environments. IEEE Trans. Geociences and Remote Sensing, 41:1724–1729.
31. Hochberg, E. J., Atkinson, M. J., and Andréfouët, S., 2003b. Spectral reflectance of coral reef community-types worldwide and implications for coral reef remote sensing. Remote Sensing of Environment, 85:159–173.
32. Hopley, D., Smithers, S., and Parnell, K., 2007. The geomorphology of the Great Barrier Reef:development, diversity, and change, 546Cambridge:Cambridge University Press.
33. Joyce, K., Phinn, S., Roelfsma, C., Neil, D., and Dennison, W., 2004. Combining Landsat ETM+and Reef Check classifications for mapping coral reefs:A critical assessment from the southern Great Barrier Reef, Australia. Coral Reefs, 23:21–25.
34. Lee, Z. P., Carder, K. L., Chen, R. F., and Peacock, T. G., 2001. Properties of the water column and bottom derived from Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data. Journal of Geophysical Research, 106:11639–11651.
35. Lesser, M., and Mobley, C., 2007. Bathymetry, water optical properties, and benthic classification of coral reefs using hyperspectral remote sensing imagery. Coral Reefs, 26:819–829.
36. Lidz, B., Reich, C., Peterson, R., and Shinn, E.A., 2005. New map, new information:coral reefs of the Florida Keys. Journal of Coastal Research, 22:260–282.
37. Long, B. G., Poiner, I. R., and Harris, A. N., 1993. Method of estimating the standing stock of Trochus niloticus incorporating LANDSAT satellite data, with application to the Trochus resources of the Bourke Isles, Torres Strait, Australia. Marine Biology, 115:587–593.
38. Maritorena, S., 1996. Remote sensing of the water attenuation in coral reefs:a case study in French Polynesia. Int. J. Remote Sensing, 17:155–166.
39. Maritorena, S., Siegel, D., and Peterson, A., 2002. Optimization of a semianalytical ocean color model for global-scale applications. Applied Optics, 41:2705–2714.
40. Matsakis, P., and Andréfouët, S., 2002. “ The fuzzy line between among and surround ”. In FUZZ-IEEE 2002, Honolulu:IEEE. CD-ROM.
41. Mellin, C., Andréfouët, S., and Ponton, D., 2007. Spatial predictability of juvenile fish species richness and abundance in a coral reef environment. Coral Reefs, 26:895–907.
42. Mishra, D., Narumalani, S., Rundquist, D., Lawson, M., and Perk, R., 2007. Enhancing the detection and classification of coral reef and associated benthic habitats:A hyperspectral remote sensing approach. Journal of Geophysical Research, 112(C8) Art. C08014.
43. Mishra, D., Narumalani, S., Rundquist, D., and Lawson, M., 2006. Benthic habitat mapping in tropical marine environments using QuickBird multispectral data. Photogrammetric Engineering and Remote Sensing, 72:1037–1048.
44. Mobley, C., Sundman, L., Davis, C., Bowles, J., Downes, T., Leathers, R., Montes, M., Bissett, W., Kohler, D., Reid, R., Louchard, E., and Gleason, A., 2005. Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up tables. Applied Optics, 44:3576–3592.
45. Mora, C., Andréfouët, S., Costello, M., Kranenburg, C., Rollo, A., Veron, J., Gaston, K., and Myers, R., 2006. Coral reefs and the global network of marine protected areas. Science, 312:1750–1751.
46. Mumby, P. J., Green, E. P., Clark, C. D., and Edwards, A. J., 1997. Coral reef habitat mapping:how much detail can remote sensing provide?. Marine Biology, 130:193–202.
47. Mumby, P., Clark, C. D., Green, E. P., and Edwards, A. J., 1998. Benefits of water column correction and contextual editing for mapping coral reefs. Int. J. Remote Sensing, 19:203–210.
48. Mumby, P. J., and Harborne, A. R., 1999. Development of a systematic classification scheme of marine habitats to facilitate regional management and mapping of Caribbean coral reefs. Biological Conservation, 88:155–163.
49. Mumby, P. J., and Edwards, A. J., 2002. Mapping marine environments with IKONOS imagery:enhanced spatial resolution can deliver greater thematic accuracy. Remote Sensing Environment, 82:248–257.
50. NOAA. 2001. “ Benthic Habitats of Puerto Rico and the U.S. Virgin Islands ”. http://ccma.nos.noaa.gov/ecosystems/coralreef/usvi_pr_mapping.html
51. Palandro, D., Hu, C., Andréfouët, S., and Muller-Karger, F., 2004. Synoptic water clarity assessment in the Florida Keys using diffuse attenuation coefficient estimated from Landsat imagery. Hydrobiologia, 530–531:489–493.
52. Purkis, S., Graham, N., and Riegl, B., in press. Predictability of reef fish diversity and abundance using remote sensing data in Diego Garcia (Chagos Archipelago). Coral Reefs
53. Purkis, S., Kohler, K., Riegl, B., and Rohmann, S., 2007. The statistics of natural shapes in modern coral reef landscapes. Journal of Geology, 115:493–508.
54. Purkis, S., Riegl, B., and Andréfouët, S., 2005. Geomorphology and scale-invariant facies patterns on a modern carbonate ramp (Arabian Gulf, Dubai, U.A.E) described by an optical-acoustic remote sensing approach. Journal of Sedimentary Research, 75:861–876.
55. Purkis, S. J., 2005. A “reef-up” approach to classifying coral habitats from IKONOS imagery. IEEE transactions on geoscience and remote sensing, 43:1375–1390.
56. Purkis, S., and Pasterkamp, R., 2004. Integrating in situ reef top reflectance spectra with Landsat TM imagery to aid shallow tropical benthic habitat mapping. Coral Reefs, 23:5–20.
57. Riegl, B. M., and Purkis, S. J., 2005. Detection of shallow corals from IKONOS satellite and QTC view (50, 200 khz) single-beam sonar data (arabian gulf; dubai, UAE). Remote sensing of environment, 95:96–114.
58. Roelfsema, C., Phinn, S., and Dennison, W., 2002. Spatial distribution of benthic microalgae on coral reefs determined by remote sensing. Coral Reefs, 21:264–274.
59. Stehman, S. V., and Czaplewski, R. L., 1998. Design and analysis for thematic map accuracy assessment:fundamental principles. Remote Sensing of Environment, 64:331–344.
60. Suzuki, H., 2002. “ Exploitation des connaissances structurelles en classification d'images:une approche par partition floue et optimisation combinatoire ”. In IRIT., 242Toulouse:Universite de Toulouse III - Paul Sabatier. PhD Thesis
61. Suzuki, H., Matsakis, P., Andréfouët, S., and Desachy, J., Satellite image classification using expert structural knowledge:a method based on fuzzy partition computation and simulated annealing. Annual Conference of the International Association for Mathematical Geology. Cancun, Mexico. IAMG. CD-ROM.
62. Torres-Pulliza, D., 2004. A multi-sensor comparison for coral reef habitat mapping:a case study using a tropical patch reef environment in Biscayne National Park, Florida, 62Dept. of Geology. Mayaguez, University of Puerto-Rico. MsC Thesis.
63. Vierros, M. K., Integrating multisource imagery and GIS analysis for mapping Bermuda's benthic habitats. 4th Int. Conf. on Remote Sensing for Marine and Coastal Environments. Orlando, Florida. vol. 1, pp. 649–656.
64. Wabnitz, C., Andréfouët, S., Torres-Pulliza, D., Müller-Karger, F., and Kramer, P., in press. Regional-scale seagrass habitat mapping in the Wider Caribbean region using Landsat sensors:applications to conservation and ecology. Remote Sensing of Environment
65. Yamano, H., Kayanne, H., Yamaguchi, T., Kuwahara, Y., Yokoki, H., Shimazaki, H., and Chikamori, M., 2007. Atoll island vulnerability to flooding and inundation revealed by historical reconstruction:Fongafale Islet, Funafuti Atoll, Tuvalu. Global and Planetary Change, 57:407–416.
66. Yang, M., Su, T., Hsu, C., Chang, K., and Wu, A., 2007. Mapping of the 26 December 2004 tsunami disaster by using FORMOSAT-2 images. International J. Remote Sensing, 28:3071–3091.